Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): A case study

Ismail, Afiqah; Rashid, Ahmad Safuan A.; Sa’ari, Radzuan; Rasib, Abd Wahid; Mustaffar, Mushairry; Abdullah, Redzuan; Kassim, Azman; Yusof, Norbazlan Mohd; Rahaman, Norisam Abd; Apandi, Nazirah Mohd; Kalatehjari, Roohollah

doi:10.1016/j.pce.2022.103161

Cited by 6 publications

(2 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, most land cover types in those areas have similar spectral signatures, which is a challenge for automated image classification [54]. More recently developed classification methods, which capture images in the near-infrared band and enable the calculation of the normalized difference water index (NDWI), can be applied to detect the presence of water [55]. In addition, to correct the RGB values for the presence of water, the collection of bathymetric data can be considered [7,40].…”

Section: Automatization Of the Habitat Classificationmentioning

confidence: 99%

Construction of an Orthophoto-Draped 3D Model and Classification of Intertidal Habitats Using UAV Imagery in the Galapagos Archipelago

Cock

Vandeputte

Bruneel

et al. 2023

Drones

View full text Add to dashboard Cite

Worldwide, an increasing number of marine islands suffer from various pressures on the environment, driven by climate change and increasing land demands. The Galapagos Archipelago is one of the most iconic group of islands, yet population growth and tourism have resulted in a rising need for efficient environmental monitoring of its fragile ecosystems, such as the intertidal zone which harbors diverse and unique fauna. The purpose of this study was to investigate the image classification opportunities for these intertidal habitats using Uncrewed Aerial Vehicle (UAV) imagery. The data for this research were collected in Puerto Ayora on Santa Cruz in August 2017, the most urbanized island of the Galapagos. An orthophoto, a digital elevation model (DEM), and an orthophoto-draped 3D model of the intertidal zone were obtained using image registration software. Based on the orthophoto, an initial classification of the intertidal zone was performed using the spectral angle mapper algorithm. A habitat map with four classes (water, sand, rock, and vegetation) was created with an overall classification accuracy of 77%, indicating the suitability of UAV high resolution aerial imagery for the classification of intertidal habitats. The developed method could be applied to map and monitor other coastal regions and islands systems.

show abstract

Section: Automatization Of the Habitat Classificationmentioning

confidence: 99%

Construction of an Orthophoto-Draped 3D Model and Classification of Intertidal Habitats Using UAV Imagery in the Galapagos Archipelago

Cock

Vandeputte

Bruneel

et al. 2023

Drones

View full text Add to dashboard Cite

show abstract

“…Recent developments in uncrewed aircraft systems (UASs) include their abilities to carry multiple sensors, fly on demand, orient the sensor's look angle based on the topography characteristics, and achieve ultra-high-resolution information (1-20 cm) for precise morphodynamic characterization of processes and landforms [16]. These practical advantages are optimal for rock mass stability evaluation, and were successfully exploited by previous studies through classification systems such as the slope and rock mass rating [17][18][19]; realization of tridimensional models for mapping geomechanical properties [20][21][22][23] or for stability analysis, hazard and risk modeling [24][25][26][27][28]; exploitation of multispectral and hyperspectral sensors for landslide susceptibility assessment; and detailed analysis of slopes' lithological and moisture conditions [29][30][31]. In particular, the scientific community is dedicating its efforts to identifying early precursor signals indicative of instability events or studying the temporal morphoevolution of block and debris detachments, exploiting topographic models and quantitative geomechanical characterization of the rock masses.…”

Section: Introductionmentioning

confidence: 99%

Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems

et al. 2023

View full text Add to dashboard Cite

Rapid slope instabilities (i.e., rockfalls) involving highway networks in mountainous areas pose a threat to facilities, settlements and life, thus representing a challenge for asset management plans. To identify different morphological expressions of degradation processes that lead to rock mass destabilization, we combined satellite and uncrewed aircraft system (UAS)-based products over two study sites along the State Highway 133 sector near Paonia Reservoir, Colorado (USA). Along with a PS-InSAR analysis covering the 2017–2021 interval, a high-resolution dataset composed of optical, thermal and multi-spectral imagery was systematically acquired during two UAS surveys in September 2021 and June 2022. After a pre-processing step including georeferencing and orthorectification, the final products were processed through object-based multispectral classification and change detection analysis for highlighting moisture or lithological variations and for identifying areas more susceptible to deterioration and detachments at the small and micro-scale. The PS-InSAR analysis, on the other hand, provided multi-temporal information at the catchment scale and assisted in understanding the large-scale morpho-evolution of the displacements. This synergic combination offered a multiscale perspective of the superimposed imprints of denudation and mass-wasting processes occurring on the study site, leading to the detection of evidence and/or early precursors of rock collapses, and effectively supporting asset management maintenance practices.

show abstract

Feasibility Exploration of the Numerical Simulation of Photogrammetry in Rock Slopes Based on Field Tests

Li,

Zheng,

Zhang

et al. 2024

Rock Mech Rock Eng

View full text Add to dashboard Cite

Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): A case study

Cited by 6 publications

References 47 publications

Construction of an Orthophoto-Draped 3D Model and Classification of Intertidal Habitats Using UAV Imagery in the Galapagos Archipelago

Construction of an Orthophoto-Draped 3D Model and Classification of Intertidal Habitats Using UAV Imagery in the Galapagos Archipelago

Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems

Feasibility Exploration of the Numerical Simulation of Photogrammetry in Rock Slopes Based on Field Tests

Contact Info

Product

Resources

About